Cost-sensitive decision tree with probabilistic pruning mechanism. - Hong Zhao 002; Xiangju Li; Zilong Xu; William Zhu 001 (ICMLC, 2015)

A cost sensitive decision tree algorithm with two adaptive mechanisms. - Xiangju Li; Hong Zhao 002; William Zhu 001 (Knowl. Based Syst., 2015)

An exponent weighted algorithm for minimal cost feature selection. - Xiangju Li; Hong Zhao 002; William Zhu 001 (Int. J. Mach. Learn. Cybern., 2016)

Decision Tree Method for the NTCIR-13 ECA Task. - Xiangju Li; Shi Feng 001; Daling Wang; Yifei Zhang 003 (NTCIR, 2017)

A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism. - Hong Zhao 002; Xiangju Li (Inf. Sci., 2017)

A Co-attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness. - Xiangju Li; Kaisong Song; Shi Feng 001; Daling Wang; Yifei Zhang 003 (EMNLP, 2018)

Attentional Neural Network for Emotion Detection in Conversations with Speaker Influence Awareness. - Jia Wei; Shi Feng 001; Daling Wang; Yifei Zhang 003; Xiangju Li (NLPCC (2), 2019)

Context-aware emotion cause analysis with multi-attention-based neural network. - Xiangju Li; Shi Feng 001; Daling Wang; Yifei Zhang 003 (Knowl. Based Syst., 2019)

PRF-RW: a progressive random forest-based random walk approach for interactive semi-automated pulmonary lobes segmentation. - Qiang Li; Lei Chen 012; Xiangju Li; Xiaofeng Lv; Shuyue Xia; Yan Kang (Int. J. Mach. Learn. Cybern., 2020)

CoEmoCause: A Chinese Fine-Grained Emotional Cause Extraction Dataset. - Zhuojin Liu; Zhongxin Jin; Chaodi Wei; Xiangju Li; Shi Feng 001 (WISA, 2021)

Boundary Detection with BERT for Span-level Emotion Cause Analysis. - Xiangju Li; Wei Gao 001; Shi Feng 001; Yifei Zhang 003; Daling Wang (ACL/IJCNLP (Findings), 2021)

Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network. - Xiangju Li; Wei Gao 001; Shi Feng 001; Daling Wang; Shafiq R. Joty (CIKM, 2021)

Span-level Emotion Cause Analysis with Neural Sequence Tagging. - Xiangju Li; Wei Gao 001; Shi Feng 001; Daling Wang; Shafiq R. Joty (CIKM, 2021)

Multi-level Emotion Cause Analysis by Multi-head Attention Based Multi-task Learning. - Xiangju Li; Shi Feng 001; Yifei Zhang 003; Daling Wang (CCL, 2021)

Community detection based on unsupervised attributed network embedding. - Xinchuang Zhou; Lingtao Su; Xiangju Li; Zhongying Zhao; Chao Li 022 (Expert Syst. Appl., 2023)

OSGNN: Original graph and Subgraph aggregated Graph Neural Network. - Yeyu Yan; Chao Li 022; Yanwei Yu; Xiangju Li; Zhongying Zhao (Expert Syst. Appl., 2023)

Self-supervised contrastive learning on heterogeneous graphs with mutual constraints of structure and feature. - Qiqi Zhang; Zhongying Zhao; Hui Zhou; Xiangju Li; Chao Li 022 (Inf. Sci., 2023)

Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering. - Hui Zhou; Xin Liu; Xiangju Li; Zhongying Zhao; Chao Li 022 (Appl. Intell., 2023)

Exploration and Practice of AI Application-oriented Talent Training Model Based on OBE Concept. - Yan Zhu; Xiangju Li (ICAIE, 2024)

LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios. - Xiaodong Wu; Minhao Wang; Yichen Liu; Xiaoming Shi; He Yan; Xiangju Li; Junmin Zhu; Wei Zhang 056 (ACL (1), 2025)

Span-level emotion-cause-category triplet extraction via table-filling. - Dong Yang; Xiangju Li; Zhongying Zhao; Faliang Huang; Kaisong Song (Expert Syst. Appl., 2025)

Span-level Emotion-Cause-Category Triplet Extraction with Instruction Tuning LLMs and Data Augmentation. - Xiangju Li; Dong Yang; Xiaogang Zhu; Faliang Huang; Peng Zhang; Zhongying Zhao (CoRR, 2025)

Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling. - Qiang Li; Xinze Lin; Shenghao Lv; Faliang Huang; Xiangju Li (CoRR, 2025)